Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. Our multidisciplinary team is developing next-gen computational frameworks that will redefine industries by 2026. This role offers unparalleled opportunities to shape the future of computational science while working with cutting-edge quantum hardware and advanced machine learning architectures.
We provide a dynamic environment where innovation thrives, offering competitive compensation, equity packages, and access to state-of-the-art research facilities. Our commitment to sustainable technology and ethical AI development ensures your work makes a meaningful impact on global challenges.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization problems
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Collaborate with cross-functional teams to integrate quantum solutions into existing AI systems
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and high-performance computing
- Strong background in linear algebra, quantum mechanics, and information theory
- Proven track record of publishing peer-reviewed research
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)